How Can I Prevent Overlapping Subplots in Matplotlib?

Overlapping Subplots: Optimizing Spacing with Matplotlib

In Matplotlib, generating a series of vertically-stacked subplots can present challenges in ensuring adequate spacing and preventing overlaps. Despite increasing the figure size, subplots may still overlap.

To address this issue, consider utilizing the following strategies:

Matplotlib.pyplot.tight_layout() Function

The matplotlib.pyplot.tight_layout() function automatically adjusts subplot spacing and arrangement to eliminate any overlaps.

import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows=4, ncols=4, figsize=(8, 8))
fig.tight_layout()  # Adjust subplot spacing and layout

Matplotlib.figure.Figure.tight_layout() Method

Alternatively, you can use the matplotlib.figure.Figure.tight_layout() method on the figure object directly:

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(10,60))
fig.tight_layout()  # Adjust subplot spacing and layout within the figure

for i, y_list in enumerate(y_lists):
    plt.subplot(len(titles), 1, i)
    plt.xlabel("Some X label")
    plt.ylabel("Some Y label")
    plt.title(titles[i])
    plt.plot(x_lists[i],y_list)
fig.savefig('out.png', dpi=100)

Benefits of Using Tight Layout:

• Optimizes spacing between subplots to prevent overlaps
• Maintains a consistent appearance across subplots
• Ensures legibility and readability of individual plots within a figure

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